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Prompt Engineer en Mursion Inc

Mursion Inc · San Francisco, Estados Unidos De América · Remote

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Description

About Mursion

Mursion provides an award-winning upskilling platform trusted by top companies to measurably improve employees' interpersonal intelligence and build stronger organizations. Powered by multimodal AI and a unique practice-based approach, our real-world, interactive simulations deliver lasting results. Our solutions are grounded in behavioral science and psychology to build confidence and positive behaviors, and ultimately help reduce the costs of stress. Mursion’s product suite includes AI-powered simulations, human reinforcement assessment & coaching, and advanced analytics that lead to measurable skills acquisition.

Mursion is a well-funded Series B startup that is backed by future of work and Edtech investing veterans, like Leeds Illuminate and New Markets Venture Partners. Mursion is the largest simulation company, with more than 800K+ simulations to date and more than 200K users per year, with a growing global footprint. By 2026, we will be delivering 2 million simulations per year. 

Who We Want: We seek talented people from diverse backgrounds and experiences, who are inspired by our mission to leverage virtual reality technology to reinvent professional learning, and who are motivated to help Mursion become the premier global platform for virtual simulation training for behavioral skills. We value empathy, curiosity, and constant improvement both in our internal operations and when working with partners and clients. Our employees are most successful when they employ strong collaboration skills, skilled communications, a problem-solving orientation, and demonstrate comfort in an evolving and fast-paced startup environment. 

Role Overview

We are seeking a Prompt Engineer with a deep understanding of LLM (Large Language Model) systems, structured prompt design, and simulation-driven learning environments. This role requires a unique blend of product thinking, linguistic strategy, and experience with AI systems in production. You’ll collaborate cross-functionally with simulation designers, AI engineers, and learning architects to create highly structured, effective prompts for real-world learning scenarios.

Key Responsibilities

  • Design, structure, and refine prompts for complex LLM production environments.
  • Implement and manage retrieval-augmented generation (RAG) pipelines using JSON-based structured outputs.
  • Develop and maintain evaluation rubrics and prompt testing datasets to measure LLM output quality and alignment.
  • Translate abstract learning objectives and human-to-human interaction scenarios into effective prompt-driven AI behavior.
  • Act as a strategic liaison between creative simulation teams and technical AI engineers, helping ensure narrative fidelity and technical precision.
  • Guide the iterative prompt development process from ideation through implementation, grounded in psychological and communication-based rubrics.
  • Contribute to the evolution of prompt engineering processes, tools, and best practices for scalable, production-level deployment.

 

What You Bring

  • 3+ years of US based Ed Tech experience.
  • 1–3+ years of experience in AI/ML or product-related roles, with direct experience working on LLM systems.
  • Demonstrated expertise designing prompts in production-grade LLM environments (e.g., OpenAI, Claude, etc.).
  • Strong understanding of RAG architecture, evaluation databases, and structured output formats such as JSON.
  • Background in linguistics, psychology, learning design, or communication modeling is a strong plus.
  • Experience bridging creative and technical domains — able to work fluently with both instructional designers and engineers.
  • Ability to work in ambiguity, rapidly prototype, and refine based on prompt performance data.
  • Familiarity with learning experience platforms, human behavior modeling, or communication skill simulations is a bonus.

Nice to Have

  • Experience working in simulation platforms, education tech, or virtual learning environments.
  • Exposure to psychological rubric design and scenario-based learning journeys.
  • Prior collaboration with voice actors, artists, or simulation scriptwriters.
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